Recommender systems

Results: 381



#Item
61Recommender systems / Collaboration / Linear algebra / Matrix theory / Collaborative filtering / Latent semantic analysis / Singular value decomposition / SimRank / Item-item collaborative filtering

Improved Recommendations via (More) Collaboration Rubi Boim Haim Kaplan Tova Milo

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Source URL: www.mancoosi.org

Language: English - Date: 2012-12-16 04:54:55
62Data management / Payment systems / Private information retrieval / WHOIS / Digital wallet / Internet privacy / Database / Distributed database / Server / Recommender system / Secret sharing

Practical PIR for Electronic Commerce∗ Ryan Henry Femi Olumofin Ian Goldberg

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Source URL: homes.soic.indiana.edu

Language: English - Date: 2016-05-12 20:00:31
63Smartphones / Mobile operating systems / Futurology / Prediction / Scientific method / Recommender system / Mobile app / App Store / IOS / Personal /  Inc. / Android

Life Event Prediction on Smartphones Reality-Mining with Smartphones: Detecting and Predicting Life Events based on App Installation Behavior Research-in-Progress

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Source URL: cocoa.ethz.ch

Language: English - Date: 2016-01-12 05:03:48
64Recommender systems / Humancomputer interaction / Collective intelligence / Collaboration / Collaborative filtering / Non-negative matrix factorization / Personalization / World Wide Web / Session / Item-item collaborative filtering / Cold start

Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs Yongfeng Zhang Department of Computer Science and Technology Tsinghua University, Beijing, 100084, China

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Source URL: yongfeng.me

Language: English - Date: 2015-12-28 22:59:24
65Recommender systems / Collective intelligence / Natural language processing / Humancomputer interaction / Collaborative filtering / Cold start / Non-negative matrix factorization / User review / Personalization / Sentiment analysis / Text mining / Star

Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation Yongfeng Zhang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsi

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Source URL: yongfeng.me

Language: English - Date: 2015-12-28 22:53:24
66Recommender systems / Humancomputer interaction / Collective intelligence / MovieLens / Privacy / Collaborative filtering / Information privacy / Internet privacy / Personalization / Differential privacy / Facebook like button / GroupLens Research

A User-aware Clicking Platform for Recommenders Rachid Guerraoui Mahsa Taziki EPFL

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Source URL: womencourage.acm.org

Language: English - Date: 2016-08-09 09:13:44
67Recommender systems / Matrix theory / Linear algebra / Sparse matrices / Multivariate statistics / Non-negative matrix factorization / Collaborative filtering / GroupLens Research / MovieLens / Singular value decomposition / Graph partition / Matrix decomposition

A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute

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Source URL: yongfeng.me

Language: English - Date: 2015-03-02 08:17:50
68Recommender systems / Collaborative filtering / MovieLens / LibraryThing / GroupLens Research / Cold start

Proceedings Template - WORD

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Source URL: robinnaughton.com

Language: English - Date: 2013-07-02 23:38:23
69Collective intelligence / Recommender systems / Knowledge representation / Statistical natural language processing / Probabilistic latent semantic analysis / Collaborative filtering / Last.fm / Music information retrieval / Tag / ITunes / Folksonomy / ZK

Social Audio Features for Advanced Music Retrieval Interfaces Michael Kuhn Roger Wattenhofer

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Source URL: disco.ethz.ch

Language: English - Date: 2014-09-26 08:36:29
70Collective intelligence / Recommender systems / Social information processing / Knowledge representation / Last.fm / Folksonomy / Collaborative filtering / Cluster analysis / Tag cloud / Music information retrieval / Tag / Information filtering system

Can a Rock song have a Jazz audience? Relationship between folksonomy and collaborative filtering in music recommender systems. Eugenio Tacchini Ernesto Damiani

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Source URL: www.websci11.org

Language: English - Date: 2016-03-15 09:54:58
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